Combining multi-gradient-echo (MGRE) acquisitions with inversion/saturation preparation pulses allows for separation of white matter signal in several water compartments and estimation of both their T1 and exchange properties. A model of multiple myelin, myelin water and axonal/interstitial water compartments was implemented, including exchange from and across individual lipid bi-layers. Fitting this model to the inversion prepared MGRE-data resulted in T1's and exchange rates for all compartments. The results from a corpus-callosum region of interest indicate that the single layer myelin water residence time is a few hundred microseconds, while the average residence time of all myelin water combined is around 15ms.
Four types of MGRE scans were used: I) reference without Mz preparation, II) inversion-recovery (IR), III) double inversion (DI) preparation to saturate the MS to obtain MT data, IV) double inversion with delay between pulses (DS), timed to suppress most of non-myelin water signal.
Ten subjects were scanned on a Siemens 7T. Five slices were acquired, each at five delay times (Table 1). Acquisition parameters: 90x60 voxels, 240x160mm2 FOV, 2mm slice thickness (3.4mm gap), 90' flip-angle, 3s TR for scan types I-III, 1.5s for type IV, 80 echoes spaced at 0.53ms and starting at 2.16ms, 10ms hyperbolic-secant inversion pulse at 750Hz maximum B1.
Step 1: Corpus-callosum-ROI-averaged MGRE data were fitted to a 3 component model [1]. The $$$R_2^*$$$'s and frequencies were determined from the reference data, after fixing these, all data were fitted for the 3 component amplitudes. The amplitudes for scans II-IV were normalized by dividing with the reference amplitudes, then the axonal and interstitial amplitudes were combined. The averages and standard errors (SE) over the subjects were determined.
Step 2: A multi-compartment exchange model (Fig.1) was used to fit the results from step 1. The model included $$$2N$$$ MS and MW layers, the combined axonal and interstitial water (other water, OW), exchange between every MS and neighboring water compartment ($$$x_{ws}$$$ spins exchanging per unit time), and exchange across myelin layers ($$$x_{ww}$$$). The evolution of Mz in compartment MWi becomes:
$$\frac{dM_{z,mw,i}}{dt}=R_{1,mw}(1-M_{z,mw,i})-(2k_{mw}+k_{ml})M_{z,mw,i}+k_{mw}(M_{z,mw,i+1}+M_{z,mw,i-1})+k_{ml}M_{z,sp,i}$$
where $$$R_{1,mw}$$$ is the longitudinal relaxation rate, $$$k_{mw}$$$ the exchange rate for MW with neighboring MW, given by the ratio of the magnetization flow $$$x_{ww}$$$ and the MW compartment size ($$$N_{mw}$$$), and likewise $$$k_{ms}$$$ the exchange rate between MW and MS. In a similar manner, equations of the other compartments and the transverse magnetization were formulated. Finally, rotations were added to describe the effects of $$$B_0$$$ and $$$B_1$$$ fields.
This set of coupled differential equations was numerically solved to simulate the experiments, the simulation was repeated with different parameter values to fit the model to the results of step 1. The simulations included the effects of all RF pulses and slice profile effects. The model had 15 parameters: the $$$R_1, R_2^*$$$, size and frequency for the three pools, the two exchange amplitudes and the number of myelin layers. $$$R_{1,ms}$$$ and $$$R_{1,mw}$$$ could not be distinguished and were assumed identical, the $$$R_{2,mw}^*$$$, $$$R_{2,ow}^*$$$, the MW and OW frequencies and the ratio of MW and OW size were taken from the three component fitting of the reference MGRE data, the $$$R_{2,ms}^*$$$ and MS frequency were taken from a MT spectrum measurement [4], the total of the pool-sizes was set to one, $$$N$$$ was set to either 5,9,12 or 15, leaving 5 parameters free to be fitted.
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Table 1. Applied delay times from preparation pulse(s) to excitation, for scan II-IV).
Table 2. Fitting results of the multi-compartment model for four choices of N, all rates are in 1/s.
Table 3. Values of fixed parameters used in the multi-compartment model, rates and frequencies are in 1/s.